Triple
T21944321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qarib Qarib Singlle |
E541896
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Tanuja Chandra |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tanuja Chandra | Statement: [Qarib Qarib Singlle, writer, Tanuja Chandra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanuja Chandra Context triple: [Qarib Qarib Singlle, writer, Tanuja Chandra]
-
A.
Tanuja Chandra
chosen
Tanuja Chandra is an Indian film director and screenwriter known for her work in Hindi cinema, often focusing on strong female protagonists and socially relevant themes.
-
B.
Tapati Lahiri
Tapati Lahiri is the mother of acclaimed author Jhumpa Lahiri and a key figure in the writer’s Bengali-Indian family background.
-
C.
Anuradha Banerjee
Anuradha Banerjee is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Banerjee.
-
D.
Namita Sinha
Namita Sinha is an actress known for her role in the Bengali film "Harano Sur."
-
E.
Chitra Ghosh
Chitra Ghosh is an Indian academic and social scientist known for her work in political science and her association with the prominent Bose family of India's independence movement.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242688988190a7b8f033c49368de |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:56 p.m.